Do You See What I See? Building AI for All of Us
Assembly Required with Stacey Abrams
Bias and Ethics in AI
This chapter explores the challenges of bias in AI technologies, emphasizing algorithmic audits that reveal significant discrepancies in gender recognition across demographics, particularly affecting Black figures. It also highlights the ethical responsibilities of researchers in elite academic institutions as they navigate the intersection of personal ambition and the societal implications of their work.
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